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Product Data Scientist, Geo Data Insights Scaling Operations

Product Data Scientist, Geo Data Insights Scaling Operations

2 Weeks ago • 1-3 Years • Data Analyst

About the job

Summary

This Product Data Scientist role at Google focuses on scaling Geo Data Insights operations. Responsibilities include collaborating with leadership to develop solutions for tracking investment shifts and mix-rate estimates related to Maps data quality improvement. The role involves large-scale data analysis, modeling (time series decomposition), identifying improvement opportunities, and measuring engineering/operations resource deployments. Data extraction automation, dashboard building, and leveraging advanced infrastructure for self-service analytics are key aspects. The successful candidate will communicate user needs, make recommendations, and drive product/process changes, prioritizing strategic growth opportunities. Proficiency in SQL, R, and Python is required.

5 skills required for this role

Test your skills to join the top 1% applicants for this job

unity

python

sql

data-science

scalability

Must have:

Bachelor's degree in quantitative field
1+ years experience with data analysis & coding (Python, R, SQL)
Large-scale data analysis & modeling
Data extraction automation & dashboard building
Excellent communication & presentation skills

Good to have:

Master's degree in quantitative field
3+ years experience in data analysis
Experience with time series decomposition

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Minimum qualifications:

Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
1 year of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 1 year of work experience with a Master's degree.

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
3 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You will make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

Responsibilities

Work with leadership teams to create solutions to identify, target and track investment shifts, mix-rate estimates and other variables around the value of initiatives to improve Maps data quality.
Perform large-scale data analysis, modeling, time series decomposition, and more to identify opportunities for improvement and measure shifts in Engineering/Operations resource deployments.
Work with large data sets, automate data extraction, build monitoring/reporting dashboards and use state-of-the-art infrastructure to enable scaled self-service analytics.
Communicate user needs, make recommendations, and drive implementation for product or process changes. Identify and prioritize top challenges and key strategic growth opportunities.
Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Apply standard/common tools, resources, processes to define problems, for moderately difficult projects, and execute analytical tasks with guidance.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.